burr | （废弃）电子书制作工具（PDF , ePub , Mobi , HTML） | Media library

Maybe a better approach would be if we can use for loop when we get the Key value after that we go the for the HashMap values that are an array of String

You can use add_segments to add a vertical line to your plotly timeline made with vistime. The xaxis will be the year, in this example. The yaxis presidents are placed at y = 1, 3, 5, 7, so the segment should extend from 0 to 8 in this example (y = 0 and yend = 8).

Edit: To obtain the yaxis range from the plotly object automatically, you could try using plotly_build and pull out the layout attributes that way.

The drawChart requires the Google Charts JavaScript library which is being loaded on the client side code and it use the DOM which is not available on the server-side code. Considering this, the easier solution is to put the drawChart function on the client-side.

Use

This question is related to this other one.

There are two things you should try to do to improve your setup, before you even start processing images:

1. The background is too bright. Those pixels are saturated. When a CCD has a saturated pixel, nearby pixels produce higher values than they should. This effect is called blooming. It will cause your object to appear smaller than it is. Either lower the light intensity, or shorten your exposure time, or close your aperture, until the background pixels are just below their maximum value.

2. It looks like I can see the one side of the object (the intermediate gray region at the top of the picture). Unless the object actually has a tapered edge there, this is likely because the object is not centered in the field of view. Using a longer focal point might alleviate some of this. The result is that we won't know which edge to measure, does the object include the gray region, or does it not?

Once we get to the measurement, we can replicate some of the processing you do in OpenCV with DIPlib, by tracing the outline as a polygon and doing polygon measurements. This would not necessarily produce better results than you get with OpenCV, except for the perimeter measurement (which OpenCV always overestimates). You could, in your existing code, compute the diameter based on the area instead of the perimeter for a much more precise result.

Also the minRect measurement is imprecise, because it is affected by individual pixels, some noise will introduce a bias. Instead, fit an ellipse to the polygon, and use the ellipse's diameters in your elliptic measure.

Likewise, the burrdistance measurement is gives the distance of the centroid to the nearest pixel in the outline, which is easily influenced by noise and therefore biased. burrpercentage depends on that value, and therefore is also possibly biased. I'm not sure what these measurements are supposed to provide, so will not suggest an alternative. But consider the ellipse variance measure to quantify the roughness of the outline (it quantifies the variance in the distance to the best fit ellipse).

If the polygon measurements are not precise enough, you can add the gray-scale information in the image to get a more precise measurement. This is DIPlib code that does so:

You may use Series.str.extract to get both types of information from the original column:

you'll have to provide a specific number for the height
a common approach is to select a row height,
then multiply by the number of rows in the data table.

You make it clear, just left one thing: Different distributions have different parameters. We should pass estimated parameters into distributions and then perform KS-test and your final density plot.

Depending on the source of the HTML a new line might not just be \n (Unix, new Mac), but \r (ancient Mac) or \r\n (Windows). Note that this depends on the creator of the HTML, not necessarily your own system.

As per Regular Expression to match cross platform newline characters the suggested expression to use for platform-independent newlines is "\r\n?|\n".

This will match any of the following:

• \r\n
• \r
• \n

Since in HTML you probably don't care about the number of occurrences, nor their order or possible mixing, you could also go with [\r\n]* which avoids creating a capturing group for each one.

Edit:

As @Toto pointed out, you can even more simply also use \R. So \R* should do the trick for you.